Snowflake Developer Job at Tech Mahindra (Pune)

Snowflake Developer

Skilled and motivated Snowflake Developer with 4–5 years of experience in data e...

Location

India , Noida; Chennai

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field
4–5 years of experience in data engineering, including 2+ years of hands-on Snowflake development
Strong expertise in SQL, Snowflake scripting, and performance tuning
Experience with cloud platforms (preferably AWS or Azure)
Proficient in data integration tools such as Informatica, Matillion, Talend, or Azure Data Factory
Experience with data modeling (dimensional/star/snowflake schemas)
Understanding of ELT/ETL architecture and best practices
Familiarity with version control (Git) and CI/CD practices
Strong problem-solving and communication skills

Job Responsibility

Design, develop, and maintain Snowflake data warehouses and data pipelines
Ingest and transform data from various sources (structured and semi-structured) using Snowflake and cloud-native tools
Write complex SQL queries, stored procedures, and user-defined functions for ETL and reporting purposes
Optimize Snowflake performance through partitioning, clustering, caching, and other tuning techniques
Work closely with BI and analytics teams to ensure accurate and timely data availability
Collaborate with DevOps teams to automate deployments using tools like Git, CI/CD pipelines
Implement security and access controls in line with data governance policies
Monitor and troubleshoot data ingestion and transformation processes
Maintain documentation related to data flows, schema design, and operational procedures

What we offer

Inclusive and respectful work environment open to people with disabilities

Fulltime

Sr. Snowflake Developer

Our client, a technology solutions provider company located in San Francisco, CA...

Location

United States , San Francisco

Salary:

130000.00 - 175000.00 USD / Year

ClearBridge Technology Group

Expiration Date

Until further notice

Requirements

9+ years of database development experience
5+ years of Snowflake development and administration
5+ years of SQL experience including writing queries from scratch
Bachelor’s Degree

Job Responsibility

designing, developing, testing, deploying, and maintaining applications utilizing Snowflake

What we offer

excellent benefits and compensation packages

Fulltime

BI Developer - Snowflake & Salesforce Data

Checkmarx is seeking an experienced BI Developer to design, build, and scale mod...

Location

India , Pune

Salary:

Not provided

Checkmarx

Expiration Date

Until further notice

Requirements

Proven experience as a BI Developer or Data Engineer in a SaaS environment
Strong hands-on expertise with Snowflake (development, optimization, and data modeling)
Strong experience working with Salesforce data, including understanding of core objects (Accounts, Opportunities, Contracts, Leads, Activities)
Experience handling Salesforce data extraction, replication, and transformation
Familiarity with Salesforce schema, relationships, and data limitations
Experience developing and supporting BI tools such as Sisense, Tableau, PBI
Proven experience building ETL/ELT pipelines from Salesforce to a data warehouse
Experience with integration tools such as Workato, Rivery
Strong understanding of dimensional modeling (star schema) and data warehousing concepts
System analysis skills, including requirement gathering, field mapping, and impact analysis

Job Responsibility

Design, develop, and maintain end-to-end data pipelines and ELT processes using Snowflake and integration tools (Workato, Rivery)
Own data flows between Salesforce and the data warehouse, including ingestion, transformation, and validation
Extract, model, and transform Salesforce data into analytics-ready dashboards
Build scalable data transformation workflows using Snowflake transformation tools, DBT, including testing, documentation, and modular design
Develop and maintain dimensional data models aligned with business use cases
Ensure data quality and integrity through validation checks, automated tests, and monitoring
Support BI tools (e.g., Sisense) with curated datasets and consistent metric definitions
Monitor pipelines and integrations with logging, alerting, and error handling mechanisms

What we offer

Great work environment
Professional development
Challenging careers
Competitive compensation
Great work-life balance
Great benefits and perks throughout the year

Fulltime

Snowflake Python Developer

We are seeking an experienced Snowflake Python Developer to design, develop, and...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Python development
Experience developing automated data exchange and integration solutions
Knowledge of Snowflake database architecture and development
Experience working with Snowpipe and Snowflake data ingestion processes
Experience building and supporting Snowflake User Defined Functions (UDFs)
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities

Job Responsibility

Develop and maintain automated solutions for exchanging data with external partners
Design, build, and optimize solutions within Snowflake database environments
Implement and support Snowpipe for automated data ingestion and processing
Develop and maintain User Defined Functions (UDFs) in Snowflake
Create scalable and efficient Python-based data processing solutions
Support custom user interface integrations and front-end connectivity within Snowflake solutions
Collaborate with business users, analysts, and technical teams to gather requirements and deliver solutions
Troubleshoot performance issues and optimize Snowflake workloads
Develop and maintain technical documentation and support production deployments
Participate in testing, debugging, and ongoing support activities

Fulltime

Snowflake Software Developer

We are currently seeking a Snowflake Software Developer - Remote to join our tea...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, analytics, or solutions architecture
5+ years of hands-on experience with Snowflake in enterprise environments
Strong SQL skills and deep understanding of Snowflake features
Strong analytical, communication, and problem-solving skills

Job Responsibility

Lead design and implementation of enterprise data solutions on Snowflake
Drive architecture decisions for data ingestion, transformation, storage, and serving layers
Translate business requirements into scalable Snowflake data models
Build and maintain ELT/ETL processes using tools such as dbt, Fivetran, Matillion, Talend, or custom pipelines
Optimize Snowflake performance: micro-partitioning, clustering keys, result caching, query optimization
Implement security best practices (RBAC, masking policies, network policies)

New

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Strong problem-solving skills focused on scalability and reliability, with a collaborative approach to working in cross-functional teams.

Job Responsibility

Design and implement scalable data platforms and pipelines across cloud environments
develop reliable batch, streaming, and near-real-time pipelines
implement modern data architectures including lakehouse patterns and medallion layering
deliver high-quality datasets supporting analytics, machine learning, causal modeling, and optimization systems
enable data pipelines for GenAI use cases
design scalable logical and physical data models
orchestrate workflows using tools such as Airflow, dbt, Lakeflow
apply modern architecture patterns including event-driven and streaming architectures
ensure adherence to best practices in data governance, lineage, quality, and access control
establish strong data observability

What we offer

24 working days of paid vacation
National holidays covered
Sick leave (up to 20/year)
Unpaid leave (up to 20/year)
Medical insurance
Multisport card OR Multikafeteria
Maternity & paternity leave support
Internal workshops & learning initiatives
Professional certifications reimbursement
Participation in professional local & global communities

Fulltime

New

Senior Data Engineer

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...

Location

United States , Southlake

Salary:

164000.00 - 183000.00 USD / Year

Charles Schwab

Expiration Date

June 22, 2026

Requirements

Bachelor of Science in Computer Science or a related field
The ideal candidate should have at least 7+ years of data engineering experience, 5+ years development experience and 3 years or more experience with Postgres database management. The candidate must additionally have experience with Oracle, SQL Server, MySQL, and/or Mongo DB
Must have worked as alongside a business vertical to establish nomenclature, data catalogs, provenance, standards, semantics and usage of data
Deep knowledge and experience with query development and optimization (SQL, PL/SQL, and No SQL)
Experience in performance-tuning database applications is a MUST
Experience in multi-datacenter DB installations, disaster recovery, and replication techniques
Advanced knowledge of database backup and recovery strategies
Ability to work in a Unix environment including an ability to write scripts in Unix
Provide database technical support for Technology and Application Delivery projects
Must have excellent written and verbal communications skills

Job Responsibility

Define and maintain conceptual, logical, and physical database models by working with business stakeholders and identifying optimal database specifications. Ensures that database design and system capabilities meet validated user requirements. Work with application development teams designing, developing, and enhancing database schemas, creating database views, helping with query optimization, and figuring out ways to increase application performance. Enhance and recommend solutions / processes for downstream impact analysis associated with data and/or model changes. Support, maintain and enhance applications (when necessary) written with ETL tools such as Informatica, Airflow, Snowflake and additionally support teams using custom ingestion and transformation processes. Collaborate with enterprise stakeholders to implement and adhere to data storage standards and maintain catalogs to facilitate consistent data management practices. Establish data quality metrics and monitoring processes to proactively identify and resolve data quality issues. Work with various IT departments within Schwab to perform preventive and corrective maintenance and incident management measures. Ensure database integrity, availability, and restorability by working with enterprise operational excellence teams. Evaluates the integration of new tools or technologies based on the capabilities of the existing infrastructure. Recommend solutions and help with functional and performance testing needs (mock data, test environments, data refresh processes). Responsible for coordination of planning the installation of operating systems, databases, applications, development upgrades, and new releases. Follow and develop database standards, guidelines, and best practices. Establishes standards, controls, and procedures to ensure data integrity and security. Perform capacity planning and projection for future growth. And finally, be able to work in an Agile Scrum environment

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment

Fulltime

!

New

Data Engineer

We are looking for a Data Engineer to join a growing financial services organiza...

Location

United States , Chicago

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7-8 years of experience in data engineering or a closely related field
Strong hands-on background in building and supporting ETL or data pipeline solutions
Proven experience working with Snowflake in a production environment
Proficiency in Python for scripting, automation, and data processing tasks
Familiarity with modern cloud platforms
Experience with data ingestion technologies such as Fivetran or similar platforms
Ability to work through imperfect or incomplete data while communicating clearly with technical and business partners

Job Responsibility

Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem
Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools
Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting
Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure
Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma
Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery
Assess emerging technologies and recommend practical additions to the data stack as business needs evolve
Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

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